N8N AI Agents & Automation
Using Memory and Context in AI Agents
N8N AI Agents & Automation
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Introduction to n8n and Automation
This topic introduces students to n8n and the broader concept of workflow automation, helping them understand its value before getting hands-on with the tool itself.
This topic gets students hands-on with n8n's core building blocks, teaching them how workflows are structured and guiding them through creating and testing their first automation.
This topic covers how n8n connects to external apps and services, both through built-in integrations and custom API calls, which is central to most real-world automation use cases.
This topic introduces the concept of AI agents and shows students how to bring AI capabilities into their n8n workflows, starting with a basic conversational agent.
This topic builds on the basics by teaching students how to make AI agents smarter and more capable — giving them memory, external tool access, and the ability to reason through multi-step tasks.
This topic covers how to add logic and manipulate data within n8n workflows, allowing for more dynamic and intelligent automation beyond simple linear flows.
This final topic brings everything together through hands-on projects, giving students practical experience building complete automation and AI agent systems for real-world use cases.
This lesson covers how to give AI agents memory, allowing them to retain context across a conversation or workflow run instead of treating each interaction as isolated.